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This paper provides a comprehensive empirical performance analysis of various trajectory compression algorithms for offline compression of trajectory data of sea borne objects which include boats, trawlers, ships etc. Our empirical study uses data from a surveillance application. The surveillance application receives data from various sensors which include GPS integrated sensors, Radars, AIS, S-AIS...
This paper discusses a design methodology for developing simple yet robust coastal surveillance application for tracking maritime objects in multi sensor environment. Hierarchical and distributed data processing architecture has been discussed. A linear Kalman estimator is used for target state estimation. A novel data association approach based on divide and conquer paradigm has been proposed. Track...
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